Welcome to MosquitoMap!

MosquitoMap is a product of the Walter Reed Biosystematics Unit based in the Smithsonian Institution (see link for WRBU above). MosquitoMap (see graphic to the left) is a geospatially referenced clearinghouse for mosquito disease vector species collection records and distribution models within VectorMap (see link for VectorMap above). Users can pan and zoom to anywhere in the world to view the locations of past mosquito collections and the results of modeling that predicts the geographic extent of individual species. Collection records are searchable and downloadable, users can map and contribute their own georeferenced collection data or distribution models, and all contributions have full attribution. Currently, MosquitoMap has 241,429 collection records, for over 1,758,689 individual specimens, belonging to over 1972 unique scientific names, from 9754 locations, in 140 countries.

 

MosquitoMap is designed to preserve and make available the results of past collecting and distribution modeling activity. The utility of MosquitoMap will increase as more records and models are added. Contributions are encouraged, especially from individuals and organizations with digitized, georeferenced records and those involved in ongoing mosquito surveillance. See a published description of MosquitoMap in the International Journal of Health Geographics.

• MosquitoMap is useful for:

  • informing decisions about where mosquito collection efforts should be directed
  • identifying areas relevant to the study of mosquito biogeography, evolution and biodiversity
  • allow predictions about the potential spread of exotic mosquito introductions
  • allow predictions about the potential effects of global warming on mosquito distributions
  • allow insights into mosquito community structure, and environmental and climatic correlates to species occurrence (ecological niche)
  • allow continent-wide rather than just local studies of vector-borne disease
  • identifying cryptic evolutionary lineages that differ in geographic or ecological space.

The Mal-area calculator

A novel enhancement of VectorMap is the Mal-area calculator (MAC) that quantifies the overlap between vector and pathogen distribution models, and host (human) population. The co-occurrence of vectors, parasites and hosts are required for many vector-borne diseases, and the MAC quantifies this co-occurrence for a given area, thus potentially providing a map and simple index of disease risk for any area of interest. At the moment the MAC is at the 'proof of concept' stage, but we plan to roll out an operational version in the near future!

OPEN DATA PORTAL PAGE

WHAT"S NEW?

24 Jun 2010. New points (126206-126222) for Chicago area, and Sri Lanka (126223-128684).

29 Jun 2010. New points (128685-128930) for Sweden, and Indonesia (128931-130914). New collection schema form featuring drop-down pick lists and map previewer. Addition of Built-up areas layer. New vector layers for North America.

22 July 2010. Updated collection form, new vector and malaria models for Tanzania according to Kulkarni et al. (2010). PLoS ONE 5(2): e9396

20 Aug 2010. Updated collection form, new points for Japan (130915-130986), Bolivia (130987-132029), and Chiapas Mexico (132030-133201)

17 Sep 2010. Added Pf malaria layer for Laos (Jorgensen et al. 2010. Malaria Journal 9:59).

29 Oct 2010. Added Pf malaria layer for Bangladesh (Reid et al. 2010. Am.J.Trop.Med.Hyg. 83:861–867), and layers for: 1-m sea level rise, total species, endemic species, species richness, and country of occurrence for various species. Updated Mosquito collection form.

17 Nov 2010. Added Pv malaria layer for Turkey (Dogan HM, et al. 2010. Trans. R. Soc. Trop. Med. Hyg. 104:726-732). Updated mosquito collection form.

29 Nov 2010. Over 100,000 records added for USA (CHPPM-W dataset: 100133202-100233811). Added place holder vector distribution models for Africa (11 models) and South America (8 models). Updated mosquito collection form.

19 Apr 2011. Connection to Silverlight version of MosquitoMap established. New fields of information. Collection form updated.

3 June 2011. Updated collection form.

5 July 2011. Updated collection form. Added new summary fields in data. Added 7617 records for Kenya (Sang R., et al. 2010).

2 Aug 2011. Included 83 MaxEnt distribution models for various mosquito species from Dr Arpad Nyari. Updated collection form and included new fields.

19 Oct 2011. Transition to new server.

3 Dec 2011. New Malaria layers from MAP for infectious days and Temperature suitability.

7 Mar 2012. New country layer with hyperlinks to information on vector ecology and human health. New mosquito models for the Atlantic Forest, Brazil (see Laporta et al. Mem Inst Oswaldo Cruz, Rio de Janeiro, Vol. 106(Suppl. I): 239-245, 2011)

30 Apr 2012. New collection forms featuring: separate essential information fields, linked vector and pathogen sheets, dependent drop-down lists, and hyperlinks for mapping and error checking locality information

Funding for MosquitoMap was provided by the US Department of Defense Global Emerging Infections Surveillance and Response System(DoD-GEIS), a Division of the Armed Forces Health Surveillance Center, and from the Global Biodiversity Information System (GBIF). Comments and questions should be directed to Desmond Foley, Pollie Rueda and Richard Wilkerson or MAJ 'Scotty' Long.